"Il vocabolario e la strada." Self-Translation between Standard Italian and Regional Dialects in the Works of Salvatore Di Giacomo, Luigi Capuana, and Luigi Pirandello
Bibliographic record
Abstract
The present dissertation explores the work of three playwrights active both in regional dialects and standard Italian in the post-Unification period, who consistently translated their own work from one code into another: Salvatore Di Giacomo, Luigi Capuana, and Luigi Pirandello. Their "bilingual writing" is best understood in light of the process of linguistic unification of Italy, described as a shift from prevailing non-bilingual diglossia to prevailing diglossic bilingualism. Considering self-translation as an extreme case of author-translator relationship, I compare the Italian and dialectal version of each play, highlighting the central features of the rewriting process. The analysis especially focuses on phenomena of linguistic interference, self-censorship and semantic attenuation, paying also attention to the systematic loss of "internal linguistic networks and argots" (Berman, La traduction 63-64). At the same time, translation acts a relatively free space for linguistic experimentation, allowing the three authors examined to challenge the idea of a fatal link between language and nation. Self-translation between standard Italian and regional dialects thus marks a very important transition in the Italian modernity, helping to close the rift between spoken and written language and eventually paving the road to the national renovation of Italian dramatic literature fully accomplished in the 1920s and 1930s.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".